Instructions to use Linov1991/linov-ocr-breastcancer-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Linov1991/linov-ocr-breastcancer-finetune with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="Linov1991/linov-ocr-breastcancer-finetune")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("Linov1991/linov-ocr-breastcancer-finetune")
model = AutoModelForMultimodalLM.from_pretrained("Linov1991/linov-ocr-breastcancer-finetune", device_map="auto")

llama-cpp-python

How to use Linov1991/linov-ocr-breastcancer-finetune with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Linov1991/linov-ocr-breastcancer-finetune",
	filename="LINOV-OCR_K_M.gguf",
)

llm.create_chat_completion(
	messages = "\"cats.jpg\""
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Linov1991/linov-ocr-breastcancer-finetune with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Linov1991/linov-ocr-breastcancer-finetune
# Run inference directly in the terminal:
llama cli -hf Linov1991/linov-ocr-breastcancer-finetune

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Linov1991/linov-ocr-breastcancer-finetune
# Run inference directly in the terminal:
llama cli -hf Linov1991/linov-ocr-breastcancer-finetune

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Linov1991/linov-ocr-breastcancer-finetune
# Run inference directly in the terminal:
./llama-cli -hf Linov1991/linov-ocr-breastcancer-finetune

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Linov1991/linov-ocr-breastcancer-finetune
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Linov1991/linov-ocr-breastcancer-finetune

Use Docker

docker model run hf.co/Linov1991/linov-ocr-breastcancer-finetune

LM Studio
Jan
Ollama
How to use Linov1991/linov-ocr-breastcancer-finetune with Ollama:
```
ollama run hf.co/Linov1991/linov-ocr-breastcancer-finetune
```

Unsloth Studio

How to use Linov1991/linov-ocr-breastcancer-finetune with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Linov1991/linov-ocr-breastcancer-finetune to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Linov1991/linov-ocr-breastcancer-finetune to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Linov1991/linov-ocr-breastcancer-finetune to start chatting

How to use Linov1991/linov-ocr-breastcancer-finetune with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Linov1991/linov-ocr-breastcancer-finetune

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Linov1991/linov-ocr-breastcancer-finetune"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Linov1991/linov-ocr-breastcancer-finetune with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Linov1991/linov-ocr-breastcancer-finetune

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Linov1991/linov-ocr-breastcancer-finetune

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use Linov1991/linov-ocr-breastcancer-finetune with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Linov1991/linov-ocr-breastcancer-finetune

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Linov1991/linov-ocr-breastcancer-finetune" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use Linov1991/linov-ocr-breastcancer-finetune with Docker Model Runner:
```
docker model run hf.co/Linov1991/linov-ocr-breastcancer-finetune
```

Lemonade

How to use Linov1991/linov-ocr-breastcancer-finetune with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Linov1991/linov-ocr-breastcancer-finetune

Run and chat with the model

lemonade run user.linov-ocr-breastcancer-finetune-{{QUANT_TAG}}

List all available models

lemonade list

Breast Cancer Ultrasound Image Classification Model

AI Prediction: benign Confidence: 82%

This result is generated by an AI model for research and educational purposes only. It is not a medical diagnosis. Please consult a qualified healthcare professional for clinical interpretation. A breast ultrasound image classification model fine-tuned to classify ultrasound images into three categories:

Benign
Malignant
Normal

This model was trained using the breastcancer-ultrasound-images dataset and is intended for medical imaging research, education, prototyping, and local/offline AI experimentation.

This model can also be explored for mobile and on-device AI workflows, where ultrasound images are processed directly on a laptop, edge device, or supported mobile phone without relying on a cloud API.

Important: This model is not a medical diagnostic tool. It is intended for research, education, and prototype development only.

Model Overview

Item	Description
Model task	Breast ultrasound image classification
Input	Breast ultrasound image
Output	Benign, malignant, or normal prediction
Modality	Medical image / ultrasound image
Dataset	`emre570/breastcancer-ultrasound-images`
Main use case	Medical imaging AI research and prototype development
Local usage	Supported through compatible local inference runtime
Mobile usage	Possible after conversion or integration into mobile runtime
Offline usage	Possible after model and runtime are installed locally
Clinical use	Not intended for clinical diagnosis

What This Model Is For

This model is designed to classify breast ultrasound images into one of three categories:

benign
malignant
normal

Downloads last month: 65

GGUF

Model size

0.9B params

Architecture

glm4

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Linov1991
/

linov-ocr-breastcancer-finetune

Breast Cancer Ultrasound Image Classification Model

Model Overview

What This Model Is For

Dataset used to train Linov1991/linov-ocr-breastcancer-finetune